azure-resource-lookup

A large Azure account quietly accumulates hundreds of things — machines, websites, disks, databases — and this answers what is actually in there, narrowed to one type, one label, or whatever is sitting unused.

WHEN TO USE

SCOPE

USE FOR

List every web app or App Service in a subscription, since no dedicated tool covers this.
Find orphaned resources like unattached disks or idle public IPs.
Get a full resource inventory spanning multiple resource types.
Find resources across subscriptions that are missing a required tag.
Look up resources that are stuck in a failed or stopped state.

NOT FOR

Deploying or changing resources; use azure-deploy for that.
Cost optimization or cost analysis; use azure-cost for that.
Looking up resources in non-Azure clouds.

This is a saved copy of the skill's SKILL.md instructions. It may differ from the upstream file or the version you install.

In this document (7)

Azure Resource Lookup

List, find, and discover Azure resources of any type across subscriptions and resource groups. Use Azure Resource Graph (ARG) for fast, cross-cutting queries when dedicated MCP tools don't cover the resource type.

When to Use This Skill

Use this skill when the user wants to:

List resources of any type (VMs, web apps, storage accounts, container apps, databases, etc.)
Show resources in a specific subscription or resource group
Query resources across multiple subscriptions or resource types
Find orphaned resources (unattached disks, unused NICs, idle IPs)
Discover resources missing required tags or configurations
Get a resource inventory spanning multiple types
Find resources in a specific state (unhealthy, failed provisioning, stopped)
Answer "what resources do I have?" or "show me my Azure resources"
List web apps, websites, or App Services

⚠️ Warning: App Service / Web Apps have no dedicated MCP list command. Prompts like "list websites", "list web apps", or "list app services" must route through this skill to use Azure Resource Graph.

💡 Tip: For single-resource-type queries, first check if a dedicated MCP tool can handle it (see routing table below). If none exists, use Azure Resource Graph.

Quick Reference

Property	Value
Query Language	KQL (Kusto Query Language subset)
CLI Command	`az graph query -q "<KQL>" -o table`
Extension	`az extension add --name resource-graph`
MCP Tool	`extension_cli_generate` with intent for `az graph query`
Best For	Cross-subscription queries, orphaned resources, tag audits

MCP Tools

Tool	Purpose	When to Use
`extension_cli_generate`	Generate `az graph query` commands	Primary tool — generate ARG queries from user intent
`mcp_azure_mcp_subscription_list`	List available subscriptions	Discover subscription scope before querying
`mcp_azure_mcp_group_list`	List resource groups	Narrow query scope

Workflow

Step 1: Check for a Dedicated MCP Tool

For single-resource-type queries, check if a dedicated MCP tool can handle it:

Resource Type	MCP Tool	Coverage
Virtual Machines	`compute`	✅ Full — list, details, sizes
Storage Accounts	`storage`	✅ Full — accounts, blobs, tables
Cosmos DB	`cosmos`	✅ Full — accounts, databases, queries
Key Vault	`keyvault`	⚠️ Partial — secrets/keys only, no vault listing
SQL Databases	`sql`	⚠️ Partial — requires resource group name
Container Registries	`acr`	✅ Full — list registries
Kubernetes (AKS)	`aks`	✅ Full — clusters, node pools
App Service / Web Apps	`appservice`	❌ No list command — use ARG
Container Apps	—	❌ No MCP tool — use ARG
Event Hubs	`eventhubs`	✅ Full — namespaces, hubs
Service Bus	`servicebus`	✅ Full — queues, topics

If a dedicated tool is available with full coverage, use it. Otherwise proceed to Step 2.

Step 2: Generate the ARG Query

Use extension_cli_generate to build the az graph query command:

mcp_azure_mcp_extension_cli_generate
  intent: "query Azure Resource Graph to <user's request>"
  cli-type: "az"

See Azure Resource Graph Query Patterns for common KQL patterns.

Step 3: Execute and Format Results

Run the generated command. Use --query (JMESPath) to shape output:

az graph query -q "<KQL>" --query "data[].{name:name, type:type, rg:resourceGroup}" -o table

Use --first N to limit results. Use --subscriptions to scope.

Error Handling

Error	Cause	Fix
`resource-graph extension not found`	Extension not installed	`az extension add --name resource-graph`
`AuthorizationFailed`	No read access to subscription	Check RBAC — need Reader role
`BadRequest` on query	Invalid KQL syntax	Verify table/column names; use `=~` for case-insensitive type matching
Empty results	No matching resources or wrong scope	Check `--subscriptions` flag; verify resource type spelling

Constraints

✅ Always use =~ for case-insensitive type matching (types are lowercase)
✅ Always scope queries with --subscriptions or --first for large tenants
✅ Prefer dedicated MCP tools for single-resource-type queries
❌ Never use ARG for real-time monitoring (data has slight delay)
❌ Never attempt mutations through ARG (read-only)

This skill ships inside the Azure Skills Plugin. Listed package contents include hooks and an MCP server. Installed components and skill versions may vary by AI tool.

Run this outside your AI tool, using Node.js 22.20.0 or newer. Skills CLI 1.7.2 skips skill selection; prompts cancel installation without an interactive terminal. If choosing Project when asked about installation scope, open your project's folder before running this.

Install checklist

Check selected tools if a picker appears; Claude Code may be unchecked under Additional agents. ↑/↓ moves, Space toggles selections, Enter confirms.
Without a tool picker, check Installing to: for your intended tool. Stop if it names a different tool.
If asked, choose Symlink (Recommended) for shared files or Copy to all agents for separate copies; review the summary before confirming installation.
Install the find-skills skill? defaults to Yes, adding another skill for all projects. Choose No if you don't want that extra installation.

Skills CLI 1.7.2 sends install data to skills.sh by default, including the source, skill names, target tools and file details; GitHub sources are reported only when GitHub confirms the repository is public, while other remote sources can also be reported. Confirmed-public GitHub sources also trigger a security-audit request. Before installing, set the environment variable DO_NOT_TRACK=1 or DISABLE_TELEMETRY=1 to disable both.

npx skills add microsoft/azure-skills --skill "azure-resource-lookup" --full-depth

After installing for Claude Code, open it in the installation project if you chose Project; Global makes the skill available across projects on this computer. Once Claude Code loads the skill, its description helps Claude decide when to use it.

If installation created a top-level skills folder that did not exist when your Claude Code session started, run /reload-skills in that session. Run it again after later changes in that folder.

What's inside

Files included with this skill.

View on GitHub

Same repository

airunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".Read full description
appinsights-instrumentation
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.Read full description
azure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.Read full description
azure-aigateway
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.Read full description
azure-app-onboard
End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: use azd for deployment(use azure-deploy), optimizing existing costs (use cost-optimization), code readiness checks only (use azure-app-onboard-prereq).Read full description
azure-app-onboard-prereq
Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local services, stack compatibility, and deployment feasibility. Answers questions about what your app needs before it can be deployed — frameworks, dependencies, and configuration. Checks whether dependencies are compatible and identifies deployment blockers and unsupported frameworks. WHEN: \"evaluate my repo\", \"is my app ready to deploy\", \"what does my app need to deploy\", \"what do I need before deploying\", \"does my app need\", \"can I ship this to Azure\", \"scan my repo for issues\", \"is this app deployable\", \"check if my app is ready for Azure\", \"do I need a Dockerfile\", \"what's blocking my deployment\", \"are there any blockers\", \"are my dependencies compatible\", \"does Azure support my framework\", \"what needs to change before deploying\", \"check my app configuration\".Read full description